Human detection robot in today’s technology plays a very crucial role in detecting and differentiating intruder from our soldiers in sensitive zones, where to do so human reach out is not possible. Generally, robots are programmed to perform specific tasks, which humans cannot. To increase the use of robots where conditions are not certain, such as war zones, robot can be made to fallow the instruction of the human operator and perform task. In this way decisions are taken according to the working conditions given by the operator and the task is performed by the robot. Human detection robot in today’s technology plays a very crucial role in detecting and differentiating intruder from our soldiers in sensitive zones, where to do so human reach out is not possible. We have military robot which implements an application of detecting and recognition of human being. A depth sensing camera is mounted on the robot for human detection aimed at both static and dynamic modes of operation. This is done by using Matrix lab (MATLAB) using viola Jones algorithm aimed at face detection. Further by using Euclidian formula we adopt concept of human recognition.
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IJRTI — journal style
"HUMAN DETECTION USING DEPTH SENSING CAMERA", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.2, Issue 10, page no.51 - 54, October-2017, Available :https://ijrti.org/papers/IJRTI1710008.pdf
APA — 7th edition
Bhat, S., Bhandary, L., Vaidya, L., Namratha, & Harshini. (2017). HUMAN DETECTION USING DEPTH SENSING CAMERA. International Journal for Research Trends and Innovation, 2(10), 51 - 54. https://ijrti.org/viewpaperforall.php?paper=IJRTI1710008
MLA — 9th edition
Bhat, Sachin, et al. "HUMAN DETECTION USING DEPTH SENSING CAMERA." International Journal for Research Trends and Innovation, vol. 2, no. 10, 2017, pp. 51 - 54, https://ijrti.org/viewpaperforall.php?paper=IJRTI1710008.
Chicago — 17th, bibliography
Bhat, Sachin, et al. "HUMAN DETECTION USING DEPTH SENSING CAMERA." International Journal for Research Trends and Innovation 2, no. 10 (2017): 51 - 54. https://ijrti.org/viewpaperforall.php?paper=IJRTI1710008.
Harvard — author–date
Bhat, S. et al. (2017) 'HUMAN DETECTION USING DEPTH SENSING CAMERA', International Journal for Research Trends and Innovation, 2(10), pp. 51 - 54. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1710008
IEEE — numbered reference
S. Bhat, L. Bhandary, L. Vaidya, Namratha and Harshini, "HUMAN DETECTION USING DEPTH SENSING CAMERA," IJRTI, vol. 2, no. 10, pp. 51 - 54, Oct. 2017.
Vancouver — biomedical
Bhat S, Bhandary L, Vaidya L, Namratha, Harshini. HUMAN DETECTION USING DEPTH SENSING CAMERA. IJRTI. 2017 Oct;2(10):51 - 54.
AMA — 11th edition
Bhat S, Bhandary L, Vaidya L, Namratha, Harshini. HUMAN DETECTION USING DEPTH SENSING CAMERA. IJRTI. 2017;2(10):51 - 54. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1710008
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1710008,
author = {Sachin Bhat and Lekhana Bhandary and Lahari Vaidya and Namratha and Harshini},
title = {HUMAN DETECTION USING DEPTH SENSING CAMERA},
journal = {International Journal for Research Trends and Innovation},
volume = {2},
number = {10},
pages = {51 - 54},
year = {2017},
month = {October},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1710008}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Bhat, Sachin
AU - Bhandary, Lekhana
AU - Vaidya, Lahari
AU - Namratha
AU - Harshini
TI - HUMAN DETECTION USING DEPTH SENSING CAMERA
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 2
IS - 10
PY - 2017
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1710008
SP - 51
EP - 54
ER -
International Journal for Research Trends and InnovationPublished by IJRTI (JW Publication)
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No external funding was received for this study.
Conflict of Interest
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Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.